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 "cells": [
  {
   "cell_type": "markdown",
   "id": "38c909fb",
   "metadata": {},
   "source": [
    "## 获取token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "def177d7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.7d8006ad65356dd6db14b3ca0b664097.315360000.1964432133.282335-25904750', 'expires_in': 2592000, 'session_key': '9mzdDxLJUI/rqOiPUzskohtuZYgEjj0Psjxyekt7K306V5/gRfmZDGoFTObs4Y98nez7OgbOeZsJH8F/G+V6f+ZWiqP8YA==', 'access_token': '24.4665577b5c9238ec74f893254832f8bc.2592000.1651664133.282335-25904750', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online', 'session_secret': 'd53018d19a0cf438b87ac36df14a54bd'}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?'\n",
    "payload = {\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'cxb09hxA168RMCdyxNFx7zZ8',\n",
    "    'client_secret':'85Nca1YweSadYpekXRxGGmiT5Gi4Xj3T'\n",
    "}\n",
    "response = requests.get(host,params=payload)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "e316ed35",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.4665577b5c9238ec74f893254832f8bc.2592000.1651664133.282335-25904750'"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "my_token = response.json()['access_token']\n",
    "my_token"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a9083bd9",
   "metadata": {},
   "source": [
    "## 通用物体和场景识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d009abcb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>参数</th>\n",
       "      <th>是否必选</th>\n",
       "      <th>类型</th>\n",
       "      <th>可选值范围</th>\n",
       "      <th>说明</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>image</td>\n",
       "      <td>和url二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>url</td>\n",
       "      <td>和image二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>baike_num</td>\n",
       "      <td>否</td>\n",
       "      <td>integer</td>\n",
       "      <td>-</td>\n",
       "      <td>返回百科信息的结果数，默认不返回</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          参数       是否必选       类型 可选值范围  \\\n",
       "0      image    和url二选一   string     -   \n",
       "1        url  和image二选一   string     -   \n",
       "2  baike_num          否  integer     -   \n",
       "\n",
       "                                                  说明  \n",
       "0  图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...  \n",
       "1  图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...  \n",
       "2                                   返回百科信息的结果数，默认不返回  "
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "pd.read_html(\"https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21\")[2]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "3cef6a8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'result_num': 5,\n",
       " 'result': [{'keyword': '美女', 'score': 0.762185, 'root': '人物-人物特写'},\n",
       "  {'keyword': '时装T台', 'score': 0.584278, 'root': '人物-人物特写'},\n",
       "  {'keyword': '酒杯', 'score': 0.336102, 'root': '商品-厨具/餐具'},\n",
       "  {'keyword': '手鼓', 'score': 0.175274, 'root': '商品-乐器'},\n",
       "  {'keyword': '吹风机', 'score': 0.014022, 'root': '商品-保健设备'}],\n",
       " 'log_id': 1510960410300675011}"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('1.jpg', 'rb')  # r: read bytes 读取二进制文件格式\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "\n",
    "params = {\"image\":img,\n",
    "          \"access_token\": my_token\n",
    "         }\n",
    "# access_token = my_token\n",
    "# request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "response.json()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "e2f09f95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'result': [{'name': '毛虫', 'score': '0.638208'},\n",
       "  {'name': '洋辣子', 'score': '0.278405'},\n",
       "  {'name': '尺蛾', 'score': '0.0109572'},\n",
       "  {'name': '毒蛾', 'score': '0.00871548'},\n",
       "  {'name': '麻田黄刺蛾', 'score': '0.00857118'},\n",
       "  {'name': '丽绿刺蛾', 'score': '0.0038802'}],\n",
       " 'log_id': 1510960296923310145}"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "动物识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v1/animal\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('毛毛虫.jpg', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img,\n",
    "         \"access_token\": my_token\n",
    "         }\n",
    "\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "response.json()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b7ba03ac",
   "metadata": {},
   "source": [
    "## 成品\n",
    "- 微信小程序:识相Insight"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "2e4b3ef4",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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